334 citations · 530 across the 29 of their papers we have counts for
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cs.IR2019
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
Guillaume Jaume, Hazim Kemal Ekenel, Jean-Philippe Thiran
We present a new dataset for form understanding in noisy scanned documents (FUNSD) that aims at extracting and structuring the textual content of forms. The dataset comprises 199 r…
cs.LG2019★ 11 cited
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs
Guillaume Jaume, An-phi Nguyen, María Rodríguez Martínez +2
The ability of a graph neural network (GNN) to leverage both the graph topology and graph labels is fundamental to building discriminative node and graph embeddings. Building on pr…